Datapunk, Founder Of The Good Enough Data & Systems Lab
Canberra, Australia
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Summary
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Senior
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Top School
Charles Gray is a data scientist and founder of the Good Enough Data & Systems Lab with a decade of experience designing interpretable, governance-ready intelligence systems that bridge research rigor and production data engineering. With a PhD in statistics and a background spanning academia, industry analytics, and platform engineering, he specialises in making complex algorithms auditable and useful for stakeholders—from ESG reporting to game analytics. He’s built data products and modernised stacks in large organisations, emphasising reproducible workflows, FAIR principles, and transparent communication between engineers and business owners. A reformed musician turned computational metascientist, he brings an unusual blend of creative discipline and methodological skepticism to ethical AI and applied data practice.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Statistics (governance of data science reproducibility data simulation mathematical statistics), Doctor of Philosophy (PhD) Statistics (governance of data science reproducibility data simulation mathematical statistics) at La Trobe University
Contributions:4 PRs, 10 pushes, 2 branches in 3 years 1 month
pythondata-sciencewordsspeakpandas
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Charles Gray - Datapunk, Founder Of The Good Enough Data & Systems Lab